Self learning machine learning pipeline for enabling identity verification
US10956916B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 21, 2020 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Sep 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/265
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The system and methodology of the present invention employs novel machine learning techniques in order to periodically update and supplement a set of identity verification databases used in connection with KYC determinations. The system and methodology of the present invention periodically receives updated identity data from third-party sources and may also use customer logic input provided to update the model used in making KYC determinations. The system of the present invention further updates and optimizes the identity verification databases and selectively deploys them in a production environment without requiring any human intervention, such that identity verification is incrementally improved over time as more identity data is provided to the system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.